Parallel magnetic resonance image reconstruction method, device and parallel magnetic resonance imaging system

Abstract

The invention discloses a parallel magnetic resonance image reconstruction method, which belongs to the technical field of magnetic resonance imaging. This method extends the phase conditions of two-dimensional k-space data for single-coil MRI reconstruction to three-dimensional k-space data sets suitable for parallel imaging reconstruction; by constructing a low-rank data matrix based on multi-coil k-space data and utilizing matrix filling method to reconstruct this data matrix to achieve the reconstruction of parallel magnetic resonance images. As a result, better reconstructed image quality can be obtained with less sampling data and shorter image reconstruction time, and no self-correction link is required during the reconstruction process, which can better suppress noise. The invention also discloses a parallel magnetic resonance image reconstruction device and a parallel magnetic resonance imaging system.

Description

technical field [0001] The present invention relates to the technical field of Magnetic Resonance Imaging (MRI for short), in particular to a parallel magnetic resonance image reconstruction method, device and parallel magnetic resonance imaging system. Background technique [0002] Magnetic resonance imaging has been widely used in medical diagnosis. It also plays an important role in subsequent treatment with radiation therapy alone or in combination. Reducing scan time is a central issue in MRI examinations. For image reconstruction, reducing scan time is usually achieved by reducing the number of sampling points. Overall, constrained reconstruction and parallel imaging are two effective approaches to achieve this. [0003] Constrained reconstruction has received extensive attention in modern MRI due to its superior performance in reducing data acquisition and artifacts. Constrained methods employ mathematical tools and prior knowledge to estimate and compensate for u...

AI Technical Summary

Problems solved by technology

In the existing methods of this kind, the combination of phase constraints and parallel imaging simply follows a certain order, that is, parallel imaging is performed first and then phase-constrained reconstruction is performed, or phase-constrained reconstruction is performed first and then parallel imaging is performed. In the correction process, the image reconstruction process is relatively cumbersome, and the sampling data and calculation amount required are relatively large, and the imaging quality needs to be further improved

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